Technical marketer

Key Responsibilities

Develop, maintain and improve company websites and landing pages.
Make front-end website changes using HTML, CSS, PHP and JavaScript.
Work with CMS platforms such as WordPress and other website technologies used by the company.
Build high-converting landing pages for campaigns, promotions and lead generation.
Improve website speed, mobile responsiveness, usability and conversion rates.
Troubleshoot technical website issues and coordinate with external developers when required.
Implement forms, APIs, tracking scripts and third-party integrations.
Understand basic hosting, domains, DNS and website deployment.
Implement technical and on-page SEO improvements.

Manage and optimise paid advertising campaigns across:

Responsibilities include:

Keyword research and campaign structure.
Audience targeting and segmentation.
Ad creation and testing.
Conversion tracking.
Landing-page optimisation.
Budget and bid optimisation.
A/B testing.
ROAS, CPA, CPL and conversion-rate analysis.
Identifying opportunities to improve marketing efficiency and reduce customer acquisition costs.

Implement and maintain Google Analytics 4 (GA4).
Manage tracking through Google Tag Manager (GTM).
Configure Google Ads and Meta conversion tracking.
Work with Meta Pixel / Conversions API.
Create dashboards and reports showing campaign and website performance.
Diagnose tracking discrepancies and attribution problems.
Use data to recommend improvements to campaigns, landing pages and the customer journey.

A major part of this role will be identifying ways to use AI and automation to make the marketing operation faster and more effective.

The Technical Marketer should be able to:

Build and configure AI agents for marketing and business workflows.
Create automated lead-generation and lead-nurturing processes.
Connect AI tools with websites, CRM systems and other business applications.
Develop AI-assisted customer enquiry and response workflows.
Automate repetitive marketing and administrative processes.
Build workflows using tools such as n8n, Make, Zapier or similar platforms.
Work with APIs, webhooks and structured data.
Experiment with platforms and models such as ChatGPT/OpenAI, Claude, Gemini and other emerging AI technologies.
Identify new AI tools that can improve productivity, customer engagement, marketing performance and revenue.

Candidates who can build custom AI agents or lightweight applications using Python, JavaScript or APIs will have a strong advantage.

The successful candidate should have practical experience in most of the following:

Technical

Performance Marketing

AI & Automation

Additional advantage will be given to candidates with experience in: